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Home bias in officiating: evidence from international cricket

Author

Listed:
  • Abhinav Sacheti
  • Ian Gregory-Smith
  • David Paton

Abstract

type="main" xml:id="rssa12086-abs-0001"> We use data on leg before wicket decisions from 1000 test cricket matches to quantify the systematic bias by officials (umpires) to favour home teams. We exploit recent changes in the regulation of test cricket as a series of natural experiments to help to identify whether social pressure from crowds has a causal effect on home bias. Using negative binomial regressions, we find that home umpires favour home teams and that this effect is more pronounced in the later stages of matches.

Suggested Citation

  • Abhinav Sacheti & Ian Gregory-Smith & David Paton, 2015. "Home bias in officiating: evidence from international cricket," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(3), pages 741-755, June.
  • Handle: RePEc:bla:jorssa:v:178:y:2015:i:3:p:741-755
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    File URL: http://hdl.handle.net/10.1111/rssa.2015.178.issue-3
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    Citations

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    Cited by:

    1. Federico Fioravanti & Fernando Delbianco & Fernando Tohm'e, 2023. "Visitors Out! The Absence of Away Team Supporters as a Source of Home Advantage in Football," Papers 2308.06279, arXiv.org, revised Nov 2023.
    2. J. James Reade & Dominik Schreyer & Carl Singleton, 2022. "Eliminating supportive crowds reduces referee bias," Economic Inquiry, Western Economic Association International, vol. 60(3), pages 1416-1436, July.
    3. J. James Reade & Dominik Schreyer & Carl Singleton, 2020. "Echoes: what happens when football is played behind closed doors?," Economics Discussion Papers em-dp2020-14, Department of Economics, University of Reading.
    4. Thomas Bassetti & Stefano Bonini & Fausto Pacicco & Filippo Pavesi, 2019. "Play it again! A Natural Experiment on Reversibility Bias," "Marco Fanno" Working Papers 0238, Dipartimento di Scienze Economiche "Marco Fanno".
    5. Subhasish M. Chowdhury & Sarah Jewell & Carl Singleton, 2023. "Can Awareness Reduce (and Reverse) Identity-driven Bias in Judgement? Evidence from International Cricket," Economics Discussion Papers em-dp2023-10, Department of Economics, University of Reading.
    6. Bethmann, Dirk & Bransch, Felix & Kvasnicka, Michael & Sadrieh, Abdolkarim, 2023. "Home Bias in Top Economics Journals," IZA Discussion Papers 15965, Institute of Labor Economics (IZA).
    7. Sarah Jewell & J. James Reade & Carl Singleton, 2020. "It's Just Not Cricket: The Uncontested Toss and the Gentleman's Game," Economics Discussion Papers em-dp2020-10, Department of Economics, University of Reading.
    8. Ram Shivakumar, 2018. "What Technology Says About Decision-Making," Journal of Sports Economics, , vol. 19(3), pages 315-331, April.

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